PREDICTIVE MODELLING FOR BASE OIL PROPERTIES
Market fluctuation, limitations of fundamental models and time-consuming lab measurement give rise to the need to develop a statistical model to predict the final base oil properties.
Saved in:
Main Author: | CHONG, SE CHERN |
---|---|
Format: | Final Year Project |
Language: | English |
Published: |
Universiti Teknologi PETRONAS
2021
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/23259/1/Thesis_Chong%20Se%20Chern%20-%2017006349.pdf http://utpedia.utp.edu.my/23259/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MATHEMATICAL MODELLING
TO PREDICT PHYSIOCHEMICAL PROPERTIES FOR
LUBRICANT/ BASE OIL PROCESSING
by: YEOH, WAY LIPP
Published: (2021) -
MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
by: SARAVANAN, PRAKASH
Published: (2021) -
The Development Of Predictive Modeling Of Nanofiltration Membrane Properties : A Review
by: Ali, Nora'aini, et al.
Published: (2004) -
Effect of Model-Plant Mismatch on Model Predictive Control and Mismatch Threshold Determination
by: Chong , Zhi Kai
Published: (2015) -
Predicting correletations properties of crude oil systemes using type-2 fuzzy logic systems
by: Olantunji, Sunday Olusanya, et al.
Published: (2011)